AI · alternatives · 2026
24 alternatives to Self-taught neural network learns to shoot a target
Watch a Neural Network learns to shoot a target. Contribute to victorqribeiro/bangBangML development by creating an account on GitHub.
A neural network trained through reinforcement learning to aim and shoot targets without human instruction. Designed for researchers and developers interested in machine learning applications, the project demonstrates… Below are 24 products that do a similar job, ranked by how close each is in meaning and then by launch-day votes. Prices are shown for the 1 we have checked on their own sites, 1 of them free or with a free tier. Self-taught neural network learns to shoot a target launched in 2020; newer entries below may have overtaken it.
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Play BangBang against a Neural Network. Contribute to victorqribeiro/bangBang development by creating an account on GitHub.
2022 · github.com · its alternatives →
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A neuroevolution game experiment. Contribute to victorqribeiro/aimAndShoot development by creating an account on GitHub.
2019 · github.com · its alternatives →
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2024 · graphgame.sabrina.dev · its alternatives →
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In browser PPO training demo, made possible by tinygrad: TinyJit -> WebGPU kernels. Requires WebGPU.
May 2026 · ppo.gradexp.xyz · its alternatives →
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2015 · otoro.net · its alternatives →
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Preimage attack against NeuralHash 💣. Contribute to anishathalye/neural-hash-collider development by creating an account on GitHub.
2021 · github.com · its alternatives →
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2019 · zecoda.com · its alternatives →
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RL-training an AI agent to RL-train AI agents. Contribute to Danau5tin/ai-trains-ai development by creating an account on GitHub.
Jul 2026 · github.com · its alternatives →
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Can a neural network predict your next move on a game of rock, paper and scissor? - victorqribeiro/jokenpo
2019 · github.com · its alternatives →
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A ranked ladder for small neural networks that play strategy games. Train a model, write an adapter, upload two files, and get measured into a weight class from 8 KiB up.
Sep 2026 · tinybrains.dev · its alternatives →
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Neural network inference the Unix way. Contribute to cloudkj/layer development by creating an account on GitHub.
2019 · github.com · its alternatives →
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NeuroBlock▲120No-code AI Lab: Train models, access datasets, run inference
Feb 2026 · neuro-block.com · its alternatives →
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Netmind Power▲272Hi HN, We just opened public access to Qwen3‑Coder‑480B‑A35B‑Instruct via a REST/SDK API. Why it might be interesting: - Fully open-source (Apache‑2.0): https://github.com/QwenLM/Qwen3-Coder - 480B params (35B active MoE), long context up to 1M tokens with YaRN - Matches Claude Sonnet/GPT‑4o on SWE-Bench Verified (81.6%) - Free tier: 100K tokens/month
2023 · netmind.ai · its alternatives →
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LLM-generated real-time commentary for Pong. Contribute to pncnmnp/xpong development by creating an account on GitHub.
2025 · github.com · its alternatives →
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A perceptron written in COBOL. Contribute to victorqribeiro/perceptronCobol development by creating an account on GitHub.
2020 · github.com · its alternatives →
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Venn.ai▲336Delegate real work to AI agents with safety guardrails
Mar 2026 · venn.ai · its alternatives →
- 18DL
2019 · beta.aifiddle.io · its alternatives →
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A chess engine implementation inspired by AlphaZero, using MLX for neural network computations and Monte Carlo Tree Search (MCTS) for move selection.
2025 · github.com · its alternatives →
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Easily train AlphaZero-like agents on any environment you want! - s-casci/tinyzero
2023 · github.com · its alternatives →
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2018 · deepmind.com · its alternatives →
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sketch-rnn model trained to write kanji.
2018 · otoro.net · its alternatives →
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I built over the last two years a human-like neural network chess engine that tries to predict your rating from a single game. It automatically adapts to your play and tries to play like a human at your level would play, giving you a balanced game. At the core I’m using an AlphaZero / Leela Chess Zero style neural network that I have trained on 1 billion human games from the lichess.org open database. Around this network I have built a chess engine in Rust with algorithms that use the outputs from the NN to produce human-like moves at a given rating from beginner to world champion, as…
2022 · noctie.ai · its alternatives →
- 24IB
We wanted to do something very challenging to prove to ourselves that we can do anything we put our mind to. The reasoning for why we chose to build a toy TPU specifically is fairly simple: - Building a chip for ML workloads seemed cool - There was no well-documented open source repo for an ML accelerator that performed both inference and training None of us have real professional experience in hardware design, which, in a way, made the TPU even more appealing since we weren't able to estimate exactly how difficult it would be. As we worked on the initial stages of this project, we…
2025 · tinytpu.com · its alternatives →
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Ranked by how close each launch is in meaning, then by votes. Prices were read from each product’s own site when checked and can change. Refine with your own description →